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Conference and Workshop Papers
- 2024
[c14]Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Liyi Luo, Hao Zhao, Guyue Zhou, Haoang Li, Zike Yan:
Structured-NeRF: Hierarchical Scene Graph with Neural Representation. ECCV (35) 2024: 184-201- 2023
- [c13]Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie:
Learning non-Markovian Decision-Making from State-only Sequences. NeurIPS 2023 - [c12]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. NeurIPS 2023 - 2022
- [c11]Chi Zhang
, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu:
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. ECCV (39) 2022: 692-709 - [c10]Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam:
COAT: Measuring Object Compositionality in Emergent Representations. ICML 2022: 24388-24413 - [c9]Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu:
Latent Diffusion Energy-Based Model for Interpretable Text Modelling. ICML 2022: 25702-25720 - [c8]Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo, Song-Chun Zhu, Yixin Zhu:
Emergent Graphical Conventions in a Visual Communication Game. NeurIPS 2022 - 2021
- [c7]Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
Understanding the wiring evolution in differentiable neural architecture search. AISTATS 2021: 874-882 - [c6]Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Foreground Extraction via Deep Region Competition. NeurIPS 2021: 14264-14279 - 2020
- [c5]Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou:
Learning a Decision Module by Imitating Driver's Control Behaviors. CoRL 2020: 1-10 - [c4]Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi:
Graph-Guided Architecture Search for Real-Time Semantic Segmentation. CVPR 2020: 4202-4211 - [c3]Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
DSNAS: Direct Neural Architecture Search Without Parameter Retraining. CVPR 2020: 12081-12089 - 2019
- [c2]Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin:
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. ICLR (Poster) 2019 - [c1]Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: stochastic neural architecture search. ICLR (Poster) 2019
Informal and Other Publications
- 2024
- [i17]Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu:
Latent Plan Transformer: Planning as Latent Variable Inference. CoRR abs/2402.04647 (2024) - [i16]Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao:
EM Distillation for One-step Diffusion Models. CoRR abs/2405.16852 (2024) - 2023
- [i15]Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie:
Learning non-Markovian Decision-Making from State-only Sequences. CoRR abs/2306.15156 (2023) - [i14]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. CoRR abs/2310.03218 (2023) - [i13]Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou:
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation. CoRR abs/2311.06211 (2023) - 2022
- [i12]Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu:
Latent Diffusion Energy-Based Model for Interpretable Text Modeling. CoRR abs/2206.05895 (2022) - 2021
- [i11]Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving. CoRR abs/2102.11344 (2021) - [i10]Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
Unsupervised Foreground Extraction via Deep Region Competition. CoRR abs/2110.15497 (2021) - [i9]Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu:
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. CoRR abs/2111.12990 (2021) - [i8]Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Song-Chun Zhu, Yixin Zhu:
Emergent Graphical Conventions in a Visual Communication Game. CoRR abs/2111.14210 (2021) - 2020
- [i7]Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
DSNAS: Direct Neural Architecture Search without Parameter Retraining. CoRR abs/2002.09128 (2020) - [i6]Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
Understanding the wiring evolution in differentiable neural architecture search. CoRR abs/2009.01272 (2020) - [i5]Sirui Xie, Feng Gao, Song-Chun Zhu:
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation. CoRR abs/2011.09854 (2020) - 2019
- [i4]Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi:
Graph-guided Architecture Search for Real-time Semantic Segmentation. CoRR abs/1909.06793 (2019) - [i3]Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou:
Learning Driving Decisions by Imitating Drivers' Control Behaviors. CoRR abs/1912.00191 (2019) - 2018
- [i2]Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin:
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. CoRR abs/1812.09028 (2018) - [i1]Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: Stochastic Neural Architecture Search. CoRR abs/1812.09926 (2018)
Coauthor Index
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